Instructions to use syeda-Rija20/image-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use syeda-Rija20/image-detector with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://syeda-Rija20/image-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c96f9e9cd89a41dcbd0994b10ba9ce9fea2247b511760c877d8b7a8e208e1a8f
- Size of remote file:
- 21.1 MB
- SHA256:
- 2bcf4209ec0fb3e20848e9cfe3e3f35153af9984ffa12b031b95555805aa89b3
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